Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "40" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 75 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 71 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 21.08% | 2.151140 | -0.677221 | 0.007973 | 1.343509 | 0.213063 | -1.051770 | -0.224992 | 0.571496 | 0.7689 | 0.7615 | 0.2436 | 5.019465 | 4.747223 |
| 2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.15% | 11.83% | 1.052328 | -0.596626 | -0.045422 | 2.219851 | -0.262333 | -0.800382 | -0.859277 | -0.508778 | 0.6911 | 0.6782 | 0.2264 | 2.527632 | 2.675266 |
| 2459592 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.622360 | 3.818806 | 38.318756 | 37.719403 | 29.245198 | 35.271501 | 0.800486 | 3.634136 | 0.6408 | 0.6544 | 0.4304 | nan | nan |
| 2459591 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 1.08% | 1.120515 | 0.392475 | 0.593469 | 2.562383 | 0.085457 | -0.672838 | -0.718151 | -0.153295 | 0.5941 | 0.5971 | 0.3358 | 1.709732 | 1.636814 |
| 2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | 1.706159 | 0.807076 | 0.814518 | 2.570392 | 0.511177 | -0.792883 | -0.478495 | 0.352857 | 0.5966 | 0.5962 | 0.3287 | 1.770965 | 1.687706 |
| 2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 26.88% | 1.313843 | 0.684660 | 0.956772 | 2.429969 | -0.358389 | -0.677487 | -0.387360 | 0.348776 | 0.6702 | 0.6518 | 0.2459 | 2.649782 | 2.504749 |
| 2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 8.06% | 1.352023 | -0.913120 | -0.096741 | 2.420686 | 0.056208 | -1.053926 | -0.733940 | -0.308202 | 0.7469 | 0.7233 | 0.2112 | 5.543415 | 4.415483 |
| 2459587 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 1.459078 | 0.453531 | -0.199230 | 2.161337 | -23.333991 | -23.858603 | -4.675000 | -4.393628 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459586 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.370068 | 2.685420 | 3.854223 | 2.611197 | 6.021315 | 6.519948 | 1.051257 | 0.134390 | 0.6072 | 0.6124 | 0.3180 | 5.052610 | 4.773398 |
| 2459585 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 36.522800 | 36.756315 | 13.968751 | 14.500300 | 2.999970 | 4.193927 | 5.619626 | 7.732691 | 0.5817 | 0.5841 | 0.3365 | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.299302 | 3.966288 | 1.363871 | 6.673118 | 11.997854 | 36.835626 | 30.593529 | 32.971863 | 0.5578 | 0.5574 | 0.3301 | 0.000000 | 0.000000 |
| 2459583 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.626746 | 1.332934 | 2.620659 | 9.840195 | 0.339707 | -0.250666 | -0.606158 | -0.162341 | 0.5998 | 0.5919 | 0.3456 | 6.041297 | 5.886039 |
| 2459582 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.553872 | 1.282690 | 2.311823 | 9.074191 | 0.104479 | -0.291913 | -0.601790 | -0.170408 | 0.5901 | 0.5791 | 0.3485 | 4.351876 | 4.013045 |
| 2459581 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.265429 | 1.922647 | 3.200159 | 9.820327 | 0.018129 | -0.287412 | -0.418630 | 0.335036 | 0.6092 | 0.6000 | 0.3434 | 5.645339 | 4.544934 |
| 2459580 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.725183 | 1.429295 | 2.669935 | 10.152204 | 0.405735 | -0.344977 | -0.834975 | 0.618421 | 0.6021 | 0.6006 | 0.3415 | 7.401908 | 6.517217 |
| 2459579 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.798475 | 1.672385 | 3.366246 | 12.087288 | 0.090886 | -0.363792 | -0.152087 | 0.211594 | 0.5962 | 0.5935 | 0.3448 | 6.263473 | 4.830302 |
| 2459578 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.521947 | 4.902935 | 18.219838 | 13.766438 | 37.301555 | 57.387994 | 28.708846 | 61.529230 | 0.6686 | 0.6768 | 0.4461 | nan | nan |
| 2459577 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.945086 | 1.764153 | 2.852815 | 9.315018 | 0.499770 | -0.035524 | -0.564440 | 0.568538 | 0.6069 | 0.6023 | 0.3399 | 6.071772 | 4.716928 |
| 2459576 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.935168 | 1.620334 | 2.421259 | 7.630543 | 0.892136 | 1.674824 | -0.046693 | 1.048528 | 0.6131 | 0.6079 | 0.3458 | 6.036808 | 5.142641 |
| 2459575 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459574 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.902757 | 1.371828 | 2.000225 | 7.231227 | 1.330752 | 0.998094 | -0.383897 | -0.030876 | 0.6175 | 0.6119 | 0.3397 | 4.624478 | 4.040501 |
| 2459573 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.139924 | 1.281238 | 3.368760 | 12.451816 | -0.023810 | -0.260182 | -0.411591 | 0.291067 | 0.6077 | 0.6008 | 0.3507 | 8.591959 | 1.978826 |
| 2459572 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.861153 | 1.372745 | 2.035814 | 7.256126 | 0.188628 | -0.059775 | 0.314701 | 0.661336 | 0.6114 | 0.6056 | 0.3475 | 5.319530 | 4.666660 |
| 2459571 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.775034 | 4.693406 | 19.876840 | 15.353280 | 101.294709 | 120.041918 | 49.326737 | 115.066746 | 0.6224 | 0.6270 | 0.3750 | nan | nan |
| 2459570 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 0.00% | -1.068338 | -1.643548 | -0.959156 | -1.910697 | -1.007441 | -1.247972 | -1.024313 | -0.346174 | 0.6149 | 0.6268 | 0.3309 | 1.365955 | 1.128799 |
| 2459569 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.278174 | 1.231385 | 2.482652 | 8.344523 | 2.949118 | 10.575774 | 2.451735 | 11.827038 | 0.7298 | 0.7224 | 0.2011 | 5.336448 | 4.638694 |
| 2459566 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.595572 | 1.160270 | 2.873351 | 9.399678 | 0.117838 | -0.039829 | -0.747398 | -0.369274 | 0.6014 | 0.5986 | 0.3649 | 0.000000 | 0.000000 |
| 2459565 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 133213.299939 | 176678.033537 | 3975161.137843 | 2933821.074001 | nan | nan | -5.052525 | -5.052525 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 6.36% | 0.338082 | -1.101036 | -0.304784 | -4.266284 | -1.214052 | -2.084892 | -1.500497 | 0.085062 | 0.6263 | 0.6283 | 0.3474 | 2.271116 | 1.829825 |
| 2459563 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.757788 | 0.842955 | 17.607697 | 9.378994 | 9.205975 | 4.119896 | -1.473412 | 0.988282 | 0.6103 | 0.6128 | 0.3570 | 1.884494 | 1.971888 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.54% | -0.286586 | -1.244119 | -0.604612 | -2.556831 | -1.962162 | -1.860760 | -1.220821 | -0.650669 | 0.6175 | 0.6251 | 0.3521 | 1.645476 | 1.520162 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 11.89% | 0.352241 | -1.016611 | -0.000863 | -2.128332 | -1.268658 | -1.822965 | -2.005666 | -1.497221 | 0.6262 | 0.6364 | 0.3515 | 1.434850 | 1.395444 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 4.32% | -0.100862 | -1.069298 | -0.431962 | -2.306196 | -0.960408 | -1.431891 | -1.333514 | -0.944541 | 0.6038 | 0.6093 | 0.3663 | 1.489795 | 1.385687 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 61.29% | 0.281213 | -1.079129 | 0.052038 | -1.924377 | -0.622021 | -1.961369 | -1.384452 | -0.733142 | 0.6260 | 0.6347 | 0.3422 | 2.885256 | 2.712557 |
| 2459558 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459557 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7601 | 0.7621 | 0.3483 | nan | nan |
| 2459556 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.990293 | 0.964379 | 9.907332 | 4.610407 | 8.609301 | 2.227125 | -3.166116 | -1.573451 | 0.6286 | 0.6309 | 0.3425 | 5.648252 | 4.130019 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6115 | 0.6138 | 0.3579 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6253 | 0.6279 | 0.3500 | nan | nan |
| 2459552 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.501666 | 1.175567 | 12.769830 | 7.110792 | 12.641331 | 4.084070 | -0.208316 | -0.705388 | 0.6369 | 0.6368 | 0.3494 | 9.933660 | 10.041286 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 38.71% | 0.051131 | -0.881532 | -0.326383 | -2.541673 | -1.999778 | -2.676232 | -1.613969 | -1.033389 | 0.6269 | 0.6288 | 0.3426 | 2.283886 | 1.895454 |
| 2459550 | digital_ok | - | 38.71% | 38.71% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6254 | 0.6400 | 0.4109 | nan | nan |
| 2459549 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.547180 | 0.827022 | 9.377723 | 4.896974 | 8.957769 | 4.285752 | -1.919335 | -0.458192 | 0.6280 | 0.6304 | 0.3528 | 3.200110 | 2.762893 |
| 2459542 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.522983 | 1.055270 | 18.768851 | 10.511985 | -0.030869 | -0.267144 | -1.913161 | -1.259694 | 0.6886 | 0.6883 | 0.3220 | 4.567796 | 3.523666 |
| 2459541 | digital_ok | 100.00% | 1.34% | 1.34% | 0.00% | 100.00% | 0.00% | 3.079385 | 0.891552 | 11.555808 | 5.803896 | 7.094474 | 4.552638 | 3.313478 | 1.829419 | 0.6933 | 0.6881 | 0.2964 | 2.555149 | 2.316605 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 37.95% | 1.406992 | -0.277114 | 1.371734 | -0.995086 | -0.650839 | -2.791113 | -1.122928 | -1.179450 | 0.6946 | 0.6882 | 0.3173 | 1.988978 | 1.805500 |
| 2459536 | digital_ok | 100.00% | 37.06% | 37.06% | 0.00% | 100.00% | 0.00% | 4.733381 | 1.510214 | 15.236763 | 8.572305 | 13.164233 | 7.317326 | -2.882168 | -1.474989 | 0.4108 | 0.4072 | 0.2192 | 2.297596 | 2.003349 |
| 2459535 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.778248 | -0.566323 | 0.934633 | -0.996896 | -0.926434 | -2.558111 | -1.226430 | -0.692363 | 0.0511 | 0.0455 | 0.0053 | 1.202347 | 1.208735 |
| 2459534 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.238772 | -0.720381 | 0.090572 | -1.832325 | -1.410490 | -2.283505 | -1.403717 | -0.603540 | 0.0525 | 0.0477 | 0.0052 | 1.186928 | 1.193581 |
| 2459533 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.056729 | 0.915370 | 9.925237 | 5.127806 | 8.101739 | 3.243797 | -2.267788 | -1.306438 | 0.0471 | 0.0404 | 0.0027 | 1.198196 | 1.203147 |
| 2459532 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.754302 | 1.272387 | 12.924144 | 6.582415 | 9.416275 | 4.720723 | -1.926857 | -1.098487 | 0.0415 | 0.0387 | 0.0025 | 1.171892 | 1.178762 |
| 2459530 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.010082 | -1.007364 | -0.105639 | -1.919840 | -1.764505 | -2.596889 | -1.616679 | 1.195229 | 0.0474 | 0.0434 | 0.0050 | 1.205601 | 1.211995 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.534029 | 1.009278 | 10.799799 | 5.805570 | 19.155751 | 8.176265 | -1.782503 | 0.323794 | 0.9072 | 0.9354 | 0.2953 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | 4.347653 | 1.400456 | 13.825712 | 7.795565 | 4.736816 | 6.318180 | -4.161047 | -2.408445 | nan | nan | nan | 5.566075 | 4.832278 |
| 2459522 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.138976 | 1.057991 | 12.843893 | 6.602979 | 2.735721 | 4.724647 | -2.487236 | 0.033559 | 0.7142 | 0.6781 | 0.3334 | 3.640673 | 3.602358 |
| 2459513 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 5.057139 | 5.358780 | 28.586458 | 26.707050 | 15.281119 | 38.553599 | 3.231017 | 17.677835 | 0.0462 | 0.0618 | 0.0046 | nan | nan |
| 2459508 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.717717 | 2.289878 | 8.716029 | 4.067879 | 8.557072 | 2.957325 | 7.725969 | 4.126083 | 0.0512 | 0.0413 | 0.0020 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 62.332001 | 102.797387 | 99.203673 | 115.319835 | 59.857432 | 147.203729 | 377.550618 | 910.581102 | 0.0078 | 0.0057 | 0.0033 | 1.095706 | 1.086673 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 1.907702 | 0.458664 | 1.416052 | 1.907702 | 0.842010 | 1.516989 | 1.100538 | 1.506138 | 0.402921 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 2.151140 | 2.151140 | -0.677221 | 0.007973 | 1.343509 | 0.213063 | -1.051770 | -0.224992 | 0.571496 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 2.219851 | 1.052328 | -0.596626 | -0.045422 | 2.219851 | -0.262333 | -0.800382 | -0.859277 | -0.508778 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 38.318756 | 3.818806 | 3.622360 | 37.719403 | 38.318756 | 35.271501 | 29.245198 | 3.634136 | 0.800486 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 2.562383 | 0.392475 | 1.120515 | 2.562383 | 0.593469 | -0.672838 | 0.085457 | -0.153295 | -0.718151 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 2.570392 | 1.706159 | 0.807076 | 0.814518 | 2.570392 | 0.511177 | -0.792883 | -0.478495 | 0.352857 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 2.429969 | 0.684660 | 1.313843 | 2.429969 | 0.956772 | -0.677487 | -0.358389 | 0.348776 | -0.387360 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 2.420686 | 1.352023 | -0.913120 | -0.096741 | 2.420686 | 0.056208 | -1.053926 | -0.733940 | -0.308202 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 2.161337 | 0.453531 | 1.459078 | 2.161337 | -0.199230 | -23.858603 | -23.333991 | -4.393628 | -4.675000 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Variability | 6.519948 | 3.370068 | 2.685420 | 3.854223 | 2.611197 | 6.021315 | 6.519948 | 1.051257 | 0.134390 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Shape | 36.756315 | 36.522800 | 36.756315 | 13.968751 | 14.500300 | 2.999970 | 4.193927 | 5.619626 | 7.732691 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Variability | 36.835626 | 4.299302 | 3.966288 | 1.363871 | 6.673118 | 11.997854 | 36.835626 | 30.593529 | 32.971863 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 9.840195 | 0.626746 | 1.332934 | 2.620659 | 9.840195 | 0.339707 | -0.250666 | -0.606158 | -0.162341 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 9.074191 | 1.282690 | 0.553872 | 9.074191 | 2.311823 | -0.291913 | 0.104479 | -0.170408 | -0.601790 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 9.820327 | 1.265429 | 1.922647 | 3.200159 | 9.820327 | 0.018129 | -0.287412 | -0.418630 | 0.335036 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 10.152204 | 1.429295 | 0.725183 | 10.152204 | 2.669935 | -0.344977 | 0.405735 | 0.618421 | -0.834975 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 12.087288 | 0.798475 | 1.672385 | 3.366246 | 12.087288 | 0.090886 | -0.363792 | -0.152087 | 0.211594 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Discontinuties | 61.529230 | 5.521947 | 4.902935 | 18.219838 | 13.766438 | 37.301555 | 57.387994 | 28.708846 | 61.529230 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 9.315018 | 1.764153 | 0.945086 | 9.315018 | 2.852815 | -0.035524 | 0.499770 | 0.568538 | -0.564440 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 7.630543 | 1.620334 | 0.935168 | 7.630543 | 2.421259 | 1.674824 | 0.892136 | 1.048528 | -0.046693 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 7.231227 | 0.902757 | 1.371828 | 2.000225 | 7.231227 | 1.330752 | 0.998094 | -0.383897 | -0.030876 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 12.451816 | 1.281238 | 1.139924 | 12.451816 | 3.368760 | -0.260182 | -0.023810 | 0.291067 | -0.411591 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 7.256126 | 1.372745 | 0.861153 | 7.256126 | 2.035814 | -0.059775 | 0.188628 | 0.661336 | 0.314701 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Variability | 120.041918 | 4.693406 | 4.775034 | 15.353280 | 19.876840 | 120.041918 | 101.294709 | 115.066746 | 49.326737 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Discontinuties | -0.346174 | -1.068338 | -1.643548 | -0.959156 | -1.910697 | -1.007441 | -1.247972 | -1.024313 | -0.346174 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Discontinuties | 11.827038 | 1.231385 | 1.278174 | 8.344523 | 2.482652 | 10.575774 | 2.949118 | 11.827038 | 2.451735 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Power | 9.399678 | 1.160270 | 0.595572 | 9.399678 | 2.873351 | -0.039829 | 0.117838 | -0.369274 | -0.747398 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 3975161.137843 | 176678.033537 | 133213.299939 | 2933821.074001 | 3975161.137843 | nan | nan | -5.052525 | -5.052525 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 0.338082 | 0.338082 | -1.101036 | -0.304784 | -4.266284 | -1.214052 | -2.084892 | -1.500497 | 0.085062 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 17.607697 | 3.757788 | 0.842955 | 17.607697 | 9.378994 | 9.205975 | 4.119896 | -1.473412 | 0.988282 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | -0.286586 | -0.286586 | -1.244119 | -0.604612 | -2.556831 | -1.962162 | -1.860760 | -1.220821 | -0.650669 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 0.352241 | 0.352241 | -1.016611 | -0.000863 | -2.128332 | -1.268658 | -1.822965 | -2.005666 | -1.497221 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | -0.100862 | -0.100862 | -1.069298 | -0.431962 | -2.306196 | -0.960408 | -1.431891 | -1.333514 | -0.944541 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 0.281213 | 0.281213 | -1.079129 | 0.052038 | -1.924377 | -0.622021 | -1.961369 | -1.384452 | -0.733142 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 9.907332 | 0.964379 | 3.990293 | 4.610407 | 9.907332 | 2.227125 | 8.609301 | -1.573451 | -3.166116 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 12.769830 | 1.175567 | 4.501666 | 7.110792 | 12.769830 | 4.084070 | 12.641331 | -0.705388 | -0.208316 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 0.051131 | -0.881532 | 0.051131 | -2.541673 | -0.326383 | -2.676232 | -1.999778 | -1.033389 | -1.613969 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 9.377723 | 3.547180 | 0.827022 | 9.377723 | 4.896974 | 8.957769 | 4.285752 | -1.919335 | -0.458192 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 18.768851 | 1.055270 | 3.522983 | 10.511985 | 18.768851 | -0.267144 | -0.030869 | -1.259694 | -1.913161 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 11.555808 | 0.891552 | 3.079385 | 5.803896 | 11.555808 | 4.552638 | 7.094474 | 1.829419 | 3.313478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 1.406992 | -0.277114 | 1.406992 | -0.995086 | 1.371734 | -2.791113 | -0.650839 | -1.179450 | -1.122928 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 15.236763 | 1.510214 | 4.733381 | 8.572305 | 15.236763 | 7.317326 | 13.164233 | -1.474989 | -2.882168 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 0.934633 | 0.778248 | -0.566323 | 0.934633 | -0.996896 | -0.926434 | -2.558111 | -1.226430 | -0.692363 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Shape | 0.238772 | -0.720381 | 0.238772 | -1.832325 | 0.090572 | -2.283505 | -1.410490 | -0.603540 | -1.403717 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 9.925237 | 4.056729 | 0.915370 | 9.925237 | 5.127806 | 8.101739 | 3.243797 | -2.267788 | -1.306438 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 12.924144 | 4.754302 | 1.272387 | 12.924144 | 6.582415 | 9.416275 | 4.720723 | -1.926857 | -1.098487 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Discontinuties | 1.195229 | -1.007364 | -0.010082 | -1.919840 | -0.105639 | -2.596889 | -1.764505 | 1.195229 | -1.616679 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Temporal Variability | 19.155751 | 4.534029 | 1.009278 | 10.799799 | 5.805570 | 19.155751 | 8.176265 | -1.782503 | 0.323794 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 13.825712 | 4.347653 | 1.400456 | 13.825712 | 7.795565 | 4.736816 | 6.318180 | -4.161047 | -2.408445 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 12.843893 | 1.057991 | 4.138976 | 6.602979 | 12.843893 | 4.724647 | 2.735721 | 0.033559 | -2.487236 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Variability | 38.553599 | 5.358780 | 5.057139 | 26.707050 | 28.586458 | 38.553599 | 15.281119 | 17.677835 | 3.231017 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | ee Power | 8.716029 | 2.289878 | 4.717717 | 4.067879 | 8.716029 | 2.957325 | 8.557072 | 4.126083 | 7.725969 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Discontinuties | 1863.391918 | 48.947847 | 117.052107 | 133.018434 | 159.218979 | 38.133604 | 76.690732 | 966.991138 | 1863.391918 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40 | 4 | digital_ok | nn Temporal Discontinuties | 910.581102 | 102.797387 | 62.332001 | 115.319835 | 99.203673 | 147.203729 | 59.857432 | 910.581102 | 377.550618 |